Data Engineer

Talent21; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Talent21 is seeking a Data Engineer in Hyderabad, Telangana, India. The role focuses on building scalable data pipelines using Spark (PySpark), Python and SQL, with hands-on Databricks development.

The candidate should be proficient in Linux, data orchestration tools like Airflow, and cloud-based data lake modernization efforts including migration of on-premise data to Databricks on GCP or similar environments.

Qualifications

• 3+ years development experience with Spark (PySpark), Python and SQL.
• Extensive knowledge building data pipelines.
• Hands on experience with Databricks Development.
• Strong experience with Linux OS.
• Experience with scheduling and orchestration (Databricks Workflows, Airflow, Prefect, Control-M).
• Good to have skills: Solid understanding of distributed systems, data structures, design principles.
• Agile Development Methodologies (SAFe, Kanban, Scrum).
• Comfortable communicating with teams via showcases/demos.
• Migration patterns for Data Lake Modernization and migration of on-premise use cases to Databricks on GCP.

Skills

Spark

PySpark

Python

SQL

Databricks

Linux

Airflow

Kubernetes

Docker

Kafka

Git

CI/CD

Azure Pipelines

Job description

Data Engineer

Hyderabad, Telangana, India

Job Description

Must have Skills:

• 3+ yrs. Development experience with Spark (PySpark), Python and SQL.

• Extensive knowledge building data pipelines

• Hands on experience with Databricks Devlopment

• Strong experience with

• Strong experience developing on Linux OS.

• Experience with scheduling and orchestration (e.g. Databricks Workflows,airflow, prefect, control-m).

Good to have skills:

• Solid understanding of distributed systems, data structures, design principles.

• Agile Development Methodologies (e.g. SAFe, Kanban, Scrum).

• Comfortable communicating with teams via showcases/demos.

• Play key role in establishing and implementing migration patterns for the Data Lake Modernization project.

• Actively migrate use cases from our on premises Data Lake to Databricks on GCP.

• Collaborate with Product Management and business partners to understand use case requirements and reporting.

• Adhere to internal development best practices/lifecycle (e.g. Testing, Code Reviews, CI/CD, Documentation) .

• Document and showcase feature designs/workflows.

• Participate in team meetings and discussions around product development.

• Stay up to date on industry latest industry trends and design patterns.

• 3+ years experience with GIT.

• 3+ years experience with CI/CD (e.g. Azure Pipelines).

• Experience with streaming technologies, such as Kafka, Spark.

• Experience building applications on Docker and Kubernetes.

• Cloud experience (e.g. Azure, Google).

Required Skills Linux OS, SQL, Spark PySpark Python, Databricks Devlopment, Docker, Agile, Azure Pipelines, GIT, Workflows airflow prefect control, Kafka Spark, Kubernetes, Azure Google, SAFe Kanban Scrum